Search Results for author: Lucas May Petry

Found 5 papers, 0 papers with code

Learn Faster and Forget Slower via Fast and Stable Task Adaptation

no code implementations2 Jul 2020 Farshid Varno, Lucas May Petry, Lisa Di Jorio, Stan Matwin

We empirically show that compared to prevailing fine-tuning practices, FAST learns the target task faster and forgets the source task slower.

Transfer Learning

Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning

no code implementations7 Apr 2020 Lucas May Petry, Amilcar Soares, Vania Bogorny, Bruno Brandoli, Stan Matwin

The global expansion of maritime activities and the development of the Automatic Identification System (AIS) have driven the advances in maritime monitoring systems in the last decade.

Anomaly Detection BIG-bench Machine Learning +1

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring

no code implementations14 Aug 2019 Lucas May Petry, Amilcar Soares, Vania Bogorny, Stan Matwin

The worldwide growth of maritime traffic and the development of the Automatic Identification System (AIS) has led to advances in monitoring systems for preventing vessel accidents and detecting illegal activities.

BIG-bench Machine Learning Event Detection +1

Discovering Heterogeneous Subsequences for Trajectory Classification

no code implementations18 Mar 2019 Carlos Andres Ferrero, Lucas May Petry, Luis Otavio Alvares, Willian Zalewski, Vania Bogorny

In this paper we propose a new parameter-free method for trajectory classification which finds the best trajectory partition and dimension combination for robust trajectory classification.

Classification General Classification

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